GIS Analyst

ResourceWise is a leading commodity pricing and market intelligence company specializing in forest products, chemicals, and renewable fuels. With a legacy spanning over 150 years, our mission is to empower clients with the most accurate data, analytics, and strategic insights to drive profitable and sustainable growth. Its entities include Forest2Market Inc., Fisher International, Inc., Tecnon OrbiChem, Ltd., Prima Regulated Markets Ltd., and Chemical Intelligence.

• Satellite Imagery Quality Assurance
• • Perform quality assurance (QA/QC) on satellite imagery and derived geospatial products.
  • Evaluate image quality for cloud cover, atmospheric effects, geometric accuracy, and radiometric consistency.
  • Identify and document anomalies, processing errors, and data quality issues.
  • Develop and maintain QA procedures and validation metrics.
• Change Detection & Remote Sensing
• • Design, implement, and refine automated change detection workflows using multi-temporal satellite imagery.
  • Analyze vegetation and forestry changes using Sentinel imagery.
  • Validate change detection outputs against reference datasets and ground truth information.
  • Improve detection accuracy by incorporating new algorithms and best practices.
• AI & Process Automation
• • Identify opportunities to leverage artificial intelligence and machine learning to improve geospatial production workflows.
  • Develop AI-assisted routines for image classification, feature extraction, anomaly detection, and quality assurance.
  • Evaluate emerging AI tools and integrate them into GIS and remote sensing operations.
  • Collaborate with technical teams to deploy scalable AI-enabled geospatial solutions.
• GIS & Programming
• • Develop Python scripts and geoprocessing tools to automate repetitive GIS tasks.
  • Process, analyze, and manage large geospatial datasets.
  • Maintain reproducible workflows using version control and documentation.
  • Support integration of GIS data into enterprise applications and cloud environments.

• Bachelor's degree in GIS, Geography, Remote Sensing, Environmental Science, Computer Science, or a related field.
• 3-5 years of professional GIS or remote sensing experience.
• Strong experience with Sentinel-1 and/or Sentinel-2 imagery.
• Proficiency in Python for geospatial analysis and automation.
• Experience with ArcGIS Pro.
• Experience performing quality assurance on remote sensing imagery.
• Knowledge of raster processing and geospatial data management.
• Strong analytical, troubleshooting, and documentation skills.
• Preferred Qualifications include;
• • Experience with cloud-based geospatial platforms such as Google Earth Engine, AWS, or Azure.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Understanding of image classification, segmentation, and computer vision techniques.
  • Familiarity with SQL and spatial databases (PostGIS, SQL Server Spatial).
  • Remote Sensing: Sentinel-1, Sentinel-2, multispectral imagery
  • Candidates with experience in forestry, agriculture, environmental monitoring, land cover mapping, natural resource management, or other large-scale Earth observation programs are especially encouraged to apply.